Индикаторы и стратегии
Teckmann Ribbon ScalperA scalping indicator is a technical tool designed to provide quick, high-probability trade signals in short timeframes, typically 1–5 minutes. It identifies immediate market opportunities by detecting rapid price movements, trend direction, and potential reversals. Common features include moving average crossovers, momentum oscillators, and price action patterns, often enhanced with visual cues like arrows or alerts for instant buy or sell entries. The goal is to maximize small, frequent profits while minimizing exposure to market noise.Follow the signal at the close of 2nd or 3rd candle after the ribbon changes.
ADX MA Filter for Choppy MarketsA clear way to see expanding markets and identify contracting markets or chop
Trí Nguyễn TrendM30 → M15 Reversal (Engulfing/Doji/Hammer)Trend follow M30
Entry M15 (Engulfing/Doji/Hammer)
EDGAR Signal System (ESS)
EDGAR SIGNAL SYSTEM (ESS)
This indicator is designed for clear institutional-level trade signals using daily reference levels to guide entries across all timeframes.
It combines three core systems in one:
📊 Daily Base Line — detects key institutional zones where price is likely to react or revers
🎯 Precision Signals — generates BUY/SELL labels only when price aligns with institutional levels
With the ESS System, you no longer need to guess market direction — it highlights real-time signals where price respects institutional zones, allowing you to synchronize your entries with professional trading levels.
TRADING RULES:
BUY when:
There is a "BUY" label
Price is BELOW the blue base line
SELL when:
There is a "SELL" label
Price is ABOVE the blue base line
WAIT when:
No signal present, OR
Signal and base line position don't match
Dashboard Guide:
SIGNAL: Shows current BUY/SELL/WAIT status
POSITION: Shows if price is ABOVE/BELOW base line
Green = Good for entry
Red = Good for exit
Orange = Wait for better setup
KAB 1.2 Beta🚀 KAB 1.2 Indicator by Lastkingkoby 📈
Unlock the power of smart trading with KAB 1 – your ultimate all-in-one tool for spotting 🔑 support/resistance levels and generating 💰 gold-standard buy/sell signals! Crafted by Koby A. Brown (@Lastkingkoby), this Pine Script v5 indicator overlays directly on your charts for seamless analysis. Perfect for traders hunting for high-probability setups in volatile markets! 🌟
🔰 Key Features:
Dynamic Support & Resistance Lines 🛡️⚔️:
Automatically draws robust S/R lines using a blend of RSI, CMO (based on HMA), and pivot calculations. Watch lines evolve in real-time – they break on breaches 🚧, count bounces 🔄, and even flip roles (e.g., support turns resistance) when conditions change! Customizable timeframe for multi-TF precision. Labels show "Support Line" or "Flipped Res" with color-coded vibes (green for support 💚, orange for resistance 🟠).
Gold Prediction & Signals 🔮💹:
Powered by a sophisticated range filter with smoothed averages and multipliers, it detects trends with upward/downward counters. Get clear bar colors: lime for strong buys 🟢, red for sells 🔴, and more! Signals include:
Buy/Long 💸: Bullish conditions with SL suggestions based on lower bands.
Sell/Short 🐻: Bearish triggers with SL from upper bands.
Warning Alerts ⚠️: Spots potential failed bounces (e.g., "Short Warn" or "Long Warn") to avoid traps – ideal for risk management!
Visuals & Alerts 📊🚨:
Enjoy colorful plots: filter line in green/red/orange 🎨, high/low bands in aqua/fuchsia with translucent fills 🌈. Bar colors highlight momentum shifts. Set up alerts for new S/R lines, buys, sells, and warnings – never miss a move!
📝 How to Use:
Add to your chart and tweak inputs like S/R Timeframe, Gold Period (default 100), or Range Coeff (default 5.0) for your style.
Look for confluences: Buy near flipped support 💪, sell at resistance breakdowns 📉.
Combine with your strategy for crypto, forex, or stocks – it's overlay-friendly!
Pro Tip: Use on higher timeframes for major levels, lower for intraday scalps. Trade smart, stay profitable! 🤑📉
© Koby "Lastkingkoby" Brown – Elevate your game today! 🚀
Z-Signal Pro: RSI+BBThe indicator utilizes RSI and Bollinger Bands, incorporates additional logic to filter out noisy signals, and produces long and short entries.
🚀 DocBrown V73++ EstrategiaStrategy Overview
The "DocBrown V73+ Unified Strategy" is a complex and multifaceted algorithmic trading system designed to operate in trending markets. Its core strategy is following the main trend, but its main strength lies in the numerous risk management modules and market filters it uses to protect capital and optimize trade exits.
The strategy combines classic trend indicators (EMAs, MACD, ADX) with volatility analysis (Bollinger Band Width) and volume to identify high-probability entry points. However, its most distinctive feature is its sophisticated exit system, which includes multiple Stop Loss (SL) and Take Profit (TP) types that adapt to various market conditions.
Entry Logic
To open a position (long or short), the strategy evaluates a set of conditions. The main entry is based on:
Market Regime Filter: This is a master filter that ensures trading is only carried out in favorable trend conditions. To do this, it simultaneously requires:
A minimum ADX to confirm the strength of the trend.
A minimum Bollinger Band Width (BBW) to ensure sufficient volatility.
A minimum slope in the slow EMA to confirm the market's direction.
EMA Alignment: Uses three Exponential Moving Averages (fast, medium, and slow). A long entry requires the fast EMA to be above the average, and the average above the slow EMA. For a short entry, the condition is the reverse.
Momentum Confirmation: The MACD must be crossed in the direction of the trade (the MACD line must be above the signal line for longs, and vice versa for shorts).
Volume Filter: The volume of the current candle must exceed a minimum ratio compared to its moving average to avoid signals of low market interest.
Trend Exhaustion Filter: Prevents new entries if the ADX, after reaching a very high peak, begins to decline, suggesting that the trend may be losing strength.
It also includes an alternative entry condition based on a "3-Candle Momentum," which looks for three consecutive candles in the same direction with progressively increasing volume, signaling a possible explosive move.
Risk Management and Exit Strategies
This is the most complex and robust part of the strategy, with multiple defense and profit-taking mechanisms:
Take Profit (TP)
Dynamic TP (Enabled by default): Instead of a fixed target, the strategy calculates the TP based on the nearest support and resistance levels. For a long position, it will look for the next resistance, and for a short position, the next support.
Trailing After a Breakout: If the price breaks an S&R level and the trade continues in favor, the strategy can move the SL to that broken level and recalculate a new TP target.
Stop Loss (SL) and Defensive Closes
The strategy features an arsenal of different types of Stop Losses for different situations:
Breakeven SL: Once the trade reaches a predefined profit percentage, the SL automatically moves to the entry price plus a small buffer to cover commissions. This ensures that a winning trade doesn't turn into a losing one.
Safety Bracket (Anti-Liquidation): This is an "emergency stop" that can be activated to prevent catastrophic losses. It is calculated based on the ATR or a fixed percentage of the price.
Adverse Volume Spike SL: Closes the position if a candle appears against the trade with abnormally high volume, which may indicate a violent reversal.
Consecutive Candle SL: If a certain number of candles (for example, 3.5) form in a row against the position, the strategy closes the trade to cut the loss.
Stagnant Stop: Closes the trade if it enters a loss and the price then remains sideways (without movement) for a defined number of bars, avoiding being trapped in a directionless position.
Derivative Stop (Anti-Trend and Counter-Trend): An advanced system that monitors price momentum and acceleration. If it detects that the price begins to move sharply against the trend after accumulating a certain amount of profit, it closes the position to protect profits.
Drawdown Stop (Loss): A special trailing stop that is only activated while the trade is in a loss. If the price attempts to recover but then falls again, this Stop is adjusted to minimize the loss from the peak of that small recovery.
Counter-Trend SL (BB-CT): Closes the position if, despite being in profit, the market shows clear signs of a trend reversal, such as the price returning within the Bollinger Bands and the MACD crossing against it.
Additional Features
Multi-Timeframe (MTF) Analysis: The strategy can run on a single chart (e.g., 1-minute) but makes all its decisions based on data from a longer timeframe (e.g., 5 or 15 minutes), allowing it to filter out market noise.
Frequency Control: Includes options to limit trades to one per candle and to set a cooldown period after closing a trade, preventing overtrading.
Date Filter: Allows backtesting over a specific timeframe.
Information Panel: Displays key data such as the strategy status, current TP/SL levels, unrealized profits (MFE), and the status of internal signals in real time on the chart.
Full Display: Draws S&R levels, EMAs, Bollinger Bands, and active entry, TP, and SL levels on the chart.
IMPORTANT:
Use in Isolated Leverage x5 (limit), start small and test tokens before jumping in.
DONATIONS: Token: USDT - Network: BSC Binance Smart Chain
Wallet: 0xe87b4589a53443d8ffed2e9b5a7ef58f261f087c
Trader Jumblo Apex Pro Signal — Confirmed The Trader Jumblo Apex Signal Pro indicator is a precision-based market reversal tool designed to identify potential turning points in price with a strong confirmation logic.
Unlike standard momentum or crossover systems, this tool focuses on confirmed reaction zones, allowing traders to anticipate high-probability shifts in market direction.
Built with adaptive multi-filter logic and confirmation weighting, it minimizes false signals and only triggers entries under specific structural conditions.
The indicator integrates dynamic volatility levels for automatic stop-loss and take-profit projection using a fixed risk-reward calibration (2:4), maintaining consistency and discipline in trade management.
Key Features:
• Smart confirmation logic for precision entries
• Adaptive 2:4 risk-reward framework
• Automatic SL/TP projection
• Candle-confirmation filtering for stronger setups
• Fully compatible with alerts (BUY, SELL, TP, SL)
Best used on: 1-5 minute or 15-minute charts for short-term confirmation trading.
⚠️ Note: This tool is optimized for traders who prioritize precision entries over frequent signals. Each signal represents a confirmed market reaction — not a predictive guess.
A precision reversal confirmation system designed to catch high-probability turning points with strict entry logic and fixed 2:4 risk-reward control.
SuperBandsI've been seeing a lot of volatility band indicators pop up recently, and after watching this trend for a while, I figured it was time to throw my two chips in. The original spark for this idea came years ago from RicardoSantos's Vector Flow Channel script, which used decay channels with timed events in an interesting way. That concept stuck with me, and I kept thinking about how to build something that captured the same kind of dynamic envelope behavior but with a different mathematical foundation. What I ended up with is a hybrid that takes the core logic of supertrend trailing stops, smooths them heavily with exponential moving averages, and wraps them in Donchian-style filled bands with momentum-based color gradients.
The basic mechanism here is pretty straightforward. Standard supertrend calculates a trailing stop based on ATR offset from price, then flips direction when price crosses the trail. This implementation does the same thing but adds EMA smoothing to the trail calculation itself, which removes a lot of the choppiness you get from raw supertrend during sideways periods. The smoothing period is adjustable, so you can tune how reactive versus stable you want the bands to be. Lower smoothing values make the bands track price more aggressively, higher values create wider, slower-moving envelopes that only respond to sustained directional moves.
Where this diverges from typical supertrend implementations is in the visual presentation and the separate treatment of bullish and bearish conditions. Instead of a single flipping line, you get persistent upper and lower bands that each track their own trailing stops independently. The bullish band trails below price and stays active as long as price doesn't break below it. The bearish band trails above price and remains active until price breaks above. Both bands can be visible simultaneously, which gives you a dynamic channel that adapts to volatility on both sides of price action. When price is trending strongly, one band will dominate and the other will disappear. During consolidation, both bands tend to compress toward price.
The color gradients are calculated by measuring the rate of change in each band's position and converting that delta into an angle using arctangent scaling. Steeper angles, which correspond to the band moving quickly to catch up with accelerating price, get brighter colors. Flatter angles, where the band is moving slowly or staying relatively stable, fade toward more muted tones. This gives you a visual sense of momentum within the bands themselves, not just from price movement. A rapidly brightening band often precedes expansion or breakout conditions, while fading colors suggest the trend is losing steam or entering consolidation.
The filled regions between price and each band serve a similar function to Donchian channels or Keltner bands, creating clearly defined zones that represent normal price behavior relative to recent volatility. When price hugs one band and the fill area compresses, you're in a strong directional regime. When price bounces between both bands and the fills expand, you're in a ranging environment. The transparency gradients in the fills make it easier to see when price is near the edge of the envelope versus safely inside it.
Configuration is split between bullish and bearish settings, which lets you asymmetrically tune the indicator if you find that your market or timeframe has different characteristics in uptrends versus downtrends. You can adjust ATR period, ATR multiplier, and smoothing independently for each direction. This flexibility is useful for instruments that exhibit different volatility profiles during bull and bear phases, or for strategies that want tighter trailing on longs than shorts, or vice versa.
The ATR period controls the lookback window for volatility measurement. Shorter periods make the bands react quickly to recent volatility spikes, which can be beneficial in fast-moving markets but also leads to more frequent whipsaws. Longer periods smooth out volatility estimates and create more stable bands at the cost of slower adaptation. The multiplier scales the ATR offset, directly controlling how far the bands sit from price. Smaller multipliers keep the bands tight, triggering more frequent direction changes. Larger multipliers create wider envelopes that give price more room to move without breaking the trail.
One thing to note is that this indicator doesn't generate explicit buy or sell signals in the traditional sense. It's a regime filter and envelope tool. You can use band breaks as directional cues if you want, but the primary value comes from understanding the current volatility environment and whether price is respecting or violating its recent behavioral boundaries. Pairing this with momentum oscillators or volume analysis tends to work better than treating band breaks as standalone entries.
From an implementation perspective, the supertrend state machine tracks whether each direction's trail is active, handles resets when price breaks through, and manages the EMA smoothing on the trail points themselves rather than just post-processing the supertrend output. This means the smoothing is baked into the trailing logic, which creates a different response curve than if you just applied an EMA to a standard supertrend line. The angle calculations use RMS estimation for the delta normalization range, which adapts to changing volatility and keeps the color gradients responsive across different market conditions.
What this really demonstrates is that there are endless ways to combine basic technical concepts into something that feels fresh without reinventing mathematics. ATR offsets, trailing stops, EMA smoothing, and Donchian fills are all standard building blocks, but arranging them in a particular way produces behavior that's distinct from each component alone. Whether this particular arrangement works better than other volatility band systems depends entirely on your market, timeframe, and what you're trying to accomplish. For me, it scratched the itch I had from seeing Vector Flow years ago and wanting to build something in that same conceptual space using tools I'm more comfortable with.
Momentum Flow FusionWhat it is
Momentum Flow Fusion is a non-repainting momentum-and-money-flow oscillator designed for crypto but robust across all markets and timeframes. It fuses an original dual-wave momentum engine with a composite money-flow score, adds adaptive bands, and optionally gates entries/exits with higher-timeframe confirmation, trend, VWAP proximity, and session filters.
What makes it original
Momentum without RSI or WaveTrend clones: The oscillator is built from a detrended price base (TP = H+L+C / 3 minus its EMA). That detrended series is normalized by a rolling z-score and mapped through a logistic function into 0–100. Two independent waves (fast/slow) are derived from this base, producing momentum cross and regime signals without borrowing RSI or open-source WaveTrend code.
Composite FlowScore (multi-factor money flow): Four clean-room components are independently normalized to 0–100, then combined with user-set weights:
MFI (custom): Typical price × volume flows, accumulated over a window and normalized.
CMF: Chaikin-style Close Location Value × volume, then mapped from to .
OBV-like: Signed cumulative volume (by close-to-close direction), normalized over a rolling min–max.
Signed Delta: Hybrid sign (close-to-close with body fallback), normalized by the rolling sum of absolute deltas (scale-invariant).
This produces a single FlowScore suitable for capital-in/out regimes that adapts to asset volatility.
Adaptive thresholds everywhere: Both the momentum fast wave and FlowScore are surrounded by dynamic bands using rolling mean ± z·stddev, which adjust automatically across regimes rather than relying on fixed levels.
MTF gating on entries and exits: With lookahead_off, the same conditions that qualify a trade on the current timeframe must also be true on a higher timeframe (momentum alignment, FlowScore above/below its mean, and optional EMA trend direction). This reduces false positives and prevents repaint artifacts.
Practical risk filters: Optional VWAP distance guard (skip extended entries far from session VWAP) and session/weekend filters to align with your venue’s trading hours. All signals can be confirmed on bar close only to avoid intrabar flicker.
How it works (concepts)
Momentum Waves (0–100)
Base series: z = (TP − EMA(TP, baseLen)) normalized by rolling mean/std.
FastWave = EMA(z, fastSmooth), SlowWave = EMA(z, slowSmooth).
Logistic mapping: WaveN = 100 · (1 / (1 + e^(−scale · Wave))).
Signals: Fast crossing above Slow with Fast above its mean-band suggests positive momentum regime; inverse for negative.
FlowScore (0–100, weighted)
MFI: Sum of positive/negative money flow (TP×Vol) across mfiLen, normalized to 0–100 by pos / (pos+neg).
CMF: CLV = (2C − H − L) / (H − L), volume-weighted over cmfLen; mapped to 0–100.
OBV-like: Cumulative sign(volume) by close-to-close direction; normalized over rolling min–max.
Delta: Volume times hybrid sign (close-to-close, fallback to body sign); normalized by rolling |delta| sum for robustness.
FlowScore = weighted average of the four normalized components with user-defined weights (internally normalized to sum to 1).
Adaptive Bands
Momentum banding: mean ± z·std of FastWave (0–100).
FlowScore banding: mean ± z·std of FlowScore (0–100).
Bands are used to frame momentum/flow expansions, pullbacks, and mean reversion.
Filters and gating
Trend: EMAfast > EMAslow (long) or EMAfast < EMAslow (short) on both current TF and HTF (optional).
VWAP guard: Reject entries when |Close−VWAP|/VWAP exceeds a threshold (%).
Session: Only allow signals within configured hours; optional weekend filter.
Confirm-on-close: All entries/exits can be gated to trigger only on confirmed bars.
How to use it
Long bias setup:
FastWave crosses above SlowWave and remains above it.
FlowScore > its mean (or above its upper band for aggressive continuation).
Optional: EMAfast > EMAslow (trend), VWAP distance within threshold, MTF gating true on HTF.
Entry: On the bar close when conditions align (if confirm-on-close is enabled).
Exit: Opposite momentum cross (Fast below Slow), FlowScore falling below mean, or trend flip; exits can also be MTF-gated.
Short bias setup: Mirror the long logic.
Interpreting FlowScore:
Sustained readings above its mean signal net capital inflow; below signal outflow.
Use adaptive bands to identify expansion (above upper band), consolidation (inside bands), and reversion (pullbacks to mean).
Tuning by market/timeframe:
Crypto intraday (scalping): baseLen 21–34, fastSmooth 3–5, slowSmooth 8–12, bandZ 1.2–1.5, mtfTf = 60–240.
Swing (any market): baseLen 34–55, fastSmooth 5–8, slowSmooth 14–21, bandZ 1.5–2.0, mtfTf = D or W.
Flow weights: Increase wDelta and wOBV for perp-heavy or derivatives-driven markets; increase wMFI and wCMF for spot-dominant venues.
Alerts: Enable long/short entry/exit alerts to integrate with automation. For the cleanest behavior, keep confirm-on-close enabled.
Why it’s closed-source
This script implements an original, clean-room momentum oscillator (detrended price → z-score → logistic 0–100 mapping) and an original composite money flow build (MFI/CMF/OBV-like/Delta individually normalized with robust scalers and weighted into a single FlowScore), plus adaptive banding and strict MTF gating on both entries and exits. It does not reproduce open-source WaveTrend/RSI or imported library logic, and it’s engineered to avoid repainting and reduce overfitting through robust normalization and gating. The protected source preserves these design choices and optimization work.
Best practices and tips
Always evaluate with confirm-on-close to avoid intrabar noise.
Use MTF gating in trending environments; consider disabling in very low timeframe scalps where responsiveness is critical.
If you get too few signals, reduce bandZ and/or relax the trend/VWAP filters; if too many, raise bandZ and/or tighten the VWAP threshold.
Keep weights simple (e.g., 0.4/0.3/0.2/0.1) and adjust slowly. Over-tuning weights to a single asset/timeframe can reduce generalization.
Limitations
Volume-derived components can behave differently across venues (spot vs derivatives); re-tune weights accordingly.
Extremely illiquid symbols or gaps may distort rolling normalizations; widen windows or rely more on momentum waves in those cases.
Elite Entries Pivot Banker PremiumElite Entries Pivot Banker — Breakout Buffer, Zones & TSL
What it does
**Elite Entries Pivot Banker** is a trend-following entry tool that:
1. Finds fresh **support/resistance pivots** using a configurable lookback.
2. Triggers **buy/sell** only when price **closes beyond** the pivot by a user-defined **Breakout Buffer** (ATR/%, or ticks).
3. Optionally **stamps a zone** from the **previous candle** (wick or body) so you can see the supply/demand area that produced the signal.
4. Manages positions with a **Trailing Stop (TSL)** (ATR/%, or points), including optional **auto break-even after +1R**.
It’s designed to cut “touch & reverse” fakes, visualize the origin zone, and keep risk management systematic.
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How to use (quick start)
1. **Add to chart.** Works on regular or Heikin Ashi; the script uses “real” OHLC internally for entries/exits.
2. **Set Lookback (`length`).**
* Intraday: start at **150** (range: 100–200).
* Swing: start at **200** (range: 150–300).
3. **Choose Threshold Mode & Value.**
* *Percent* (default): common range **0.3–0.8%**.
* *Points*: handy for futures/indices if you think in points.
This defines how far from the pivot a candle must be before it’s even eligible to signal.
4. **Turn on the Breakout Buffer.**
* Keep **Require Breakout Close Beyond Pivot** ON.
* **ATR** buffer with **0.25–0.50** is a strong baseline; increase on choppy symbols.
* For slower charts or FX, try **Percent** (e.g., 0.10–0.25).
5. **Enable Zones (optional).**
* **Wick** zones are broader (more forgiving); **Body** zones are tighter (surgical).
* Use **Delete Zone When Broken** to auto-clean the chart.
* **Use Wick for Zone Break** if you want stricter invalidation (wick penetration kills the zone).
6. **Configure the Trailing Stop (TSL).**
* **ATR 14**, **2.0×** (Long/Short) is a classic start.
* Turn on **Auto Break-even after +1R** to protect gains on momentum pushes.
7. **Trade the signals.**
* **Green triangle** below bar = *Buy*.
* **Red triangle** above bar = *Sell*.
* If **Show BLOCKED** is enabled, “X” markers show signals that were suppressed only because a TSL trade is already active (to prevent stacking).
* **TSL line** (lime for long, red for short) shows your trailing stop; touching it exits (optional exit label shows PnL).
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Inputs (plain-English guide)
Pivot Settings
* **Support/Resistance Lookback** — how far back to define pivots. Larger = fewer but stronger pivots.
* **Track Price** — keeps pivot plots tracking live price.
Signal Settings
* **Threshold Mode / Value** — minimum distance from pivot before a bar can even qualify.
* **Show BLOCKED markers** — visualizes otherwise-valid signals blocked by an active TSL position.
* **Signal Label Size** — shape size for the triangles.
External Filters (optional)
* **Use External Enhancers** — require pivot to be Above/Below a custom series (e.g., MA, HTF close).
Useful if you want signals only in the higher-timeframe trend.
Breakout Buffer (the key filter)
* **Require Breakout Close Beyond Pivot** — ON to reduce false breaks.
* **Buffer Mode** — ATR / Percent / Ticks.
* **Buffer Amount** — the distance that close must exceed the pivot.
Signal Zones
* **Create Zone After Signal** — draw a box from the **previous candle** (wick/body).
* **Opacity / Extend Right** — cosmetic and readability controls.
* **Delete Zone When Broken** — auto-remove once invalid.
* **Use Wick for Zone Break** — stricter (wick) vs. lenient (close) break logic.
* **Max Zones to Keep** — cap to avoid chart bloat during long replays.
Trailing Stop
* **Mode** — ATR / Percent / Points.
* **ATR Length / Multipliers** — classic 14 / 2.0× each side.
* **Percent / Points Trail** — alternatives to ATR.
* **Auto Break-even after +1R** — locks stop to entry once move equals the trail distance.
* **Show TSL Lines / Exit Labels / Risk Label at Start** — visibility + readouts.
* **PnL Display** — Currency / Points / Ticks.
* **Label styling & persistence** — pick sizes/colors and whether risk labels persist after exit.
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Suggested presets
**Intraday baseline (indices, liquid stocks)**
* Lookback: **150**
* Threshold: **0.5%** (or 1.0 point on ES/points mode)
* Breakout Buffer: **ATR**, **0.35**
* TSL: ATR **14**, **2.0×** (both sides), Break-even **ON**
* Zones: **Wick**, Delete on Break **ON**, Wick-Break **OFF**
**Swing baseline (daily/4H)**
* Lookback: **200**
* Threshold: **0.5–0.8%**
* Breakout Buffer: **ATR**, **0.25–0.35**
* TSL: ATR **14**, **2.0×**, Break-even **ON**
* Zones: **Body** for cleaner structure, Delete on Break **ON**
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Reading the chart
* **Triangles**: entries (green = buy, red = sell).
* **TSL lines**: dynamic stops (lime/red).
* **Exit labels**: optional PnL marker when stop is hit.
* **Zones**: shaded boxes from the *previous candle* that created the signal; auto-extend and optionally auto-delete.
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Alerts included
* **Basic Buy Alert** — on confirmed buy signal.
* **Basic Sell Alert** — on confirmed sell signal.
* **TSL Exit (Long/Short)** — when trailing stop is touched.
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Tips & troubleshooting
* Too many fakeouts?
→ Increase **Breakout Buffer** (e.g., ATR 0.35→0.50) or raise **Lookback**.
* Late entries?
→ Reduce **Threshold** and/or **Breakout Buffer** slightly.
* Want fewer overlapping trades?
→ Keep **TSL gate** ON (default behavior) so new signals are blocked while in a position.
* Zone clutter?
→ Lower **Max Zones to Keep** or enable **Delete Zone When Broken**.
---
## Notes & disclaimer
* This is a **research/education** tool. Always forward-test and risk-manage.
* For backtests, consider a **strategy** version that mirrors these entries and TSL exits (I can provide one if you want).
N Order EMAThe exponential moving average is one of the most fundamental tools in technical analysis, but its implementation is almost always locked to a single mathematical approach. I've always wanted to extend the EMA into an n-order filter, and after some time working through the digital signal processing mathematics, I finally managed to do it. This indicator takes the familiar EMA concept and opens it up to four different discretization methods, each representing a valid way to transform a continuous-time exponential smoother into a discrete-time recursive filter. On top of that, it includes adjustable filter order, which fundamentally changes the frequency response characteristics in ways that simply changing the period length cannot achieve.
The four discretization styles are impulse-matched, all-pole, matched z-transform, and bilinear (Tustin). The all-pole version is exactly like stacking multiple EMAs together but implemented in a single function with proper coefficient calculation. It uses a canonical form where you get one gain coefficient and the rest are zeros, with the feedback coefficients derived from the binomial expansion of the pole polynomial. The other three methods are attempts at making generalizations of the EMA in different ways. Impulse-matched creates the filter by matching the discrete-time impulse response to what the continuous EMA would produce. Matched z-transform directly maps the continuous poles to the z-domain using the exponential relationship. Bilinear uses the Tustin transformation with frequency prewarping to ensure the cutoff frequency is preserved despite the inherent warping of the mapping.
Honestly, they're all mostly the same in practice, which is exactly what you'd expect since they're all valid discretizations of the same underlying filter. The differences show up in subtle ways during volatile market conditions or in the exact phase characteristics, but for most trading applications the outputs will track each other closely. That said, the bilinear version works particularly well at low periods like 2, where other methods can sometimes produce numerical artifacts. I personally like the z-match for its clean frequency-domain properties, but the real point here is demonstrating that you can tackle the same problem from multiple mathematical angles and end up with slightly different but equally valid implementations.
The order parameter is where things get interesting. A first-order EMA is the standard single-pole recursive filter everyone knows. When you move to second-order, you're essentially cascading two filter sections, which steepens the roll-off in the frequency domain and changes how the filter responds to sudden price movements. Higher orders continue this progression. The all-pole style makes this particularly clear since it's literally stacking EMA operations, but all four discretization methods support arbitrary order. This gives you control over the aggressiveness of the smoothing that goes beyond just adjusting the period length.
On top of the core EMA calculation, I've included all the standard variants that people use for reducing lag. DEMA applies the EMA twice and combines the results to get faster response. TEMA takes it further with three applications. HEMA uses a Hull-style calculation with fractional periods, applying the EMA to the difference between a half-period EMA and a full-period EMA, then smoothing that result with the square root of the period. These are all implemented using whichever discretization method you select, so you're not mixing different mathematical approaches. Everything stays consistent within the chosen framework.
The practical upside of this indicator is flexibility for people building trading systems. If you need a moving average with specific frequency response characteristics, you can tune the order parameter instead of hunting for the right period length. If you want to test whether different discretization methods affect your strategy's performance, you can swap between them without changing any other code. For most users, the impulse-matched style at order 1 will behave almost identically to a standard EMA, which gives you a familiar baseline to work from. From there you can experiment with higher orders or different styles to see if they provide any edge in your particular market or timeframe.
What this really highlights is that even something as seemingly simple as an exponential moving average involves mathematical choices that usually stay hidden. The standard EMA formula you see in textbooks is already a discretized version of a continuous exponential decay, and there are multiple valid ways to perform that discretization. By exposing these options, this indicator lets you explore a parameter space that most traders never even know exists. Whether that exploration leads to better trading results is an empirical question that depends on your strategy and market, but at minimum it's a useful reminder that the tools we take for granted are built on arbitrary but reasonable mathematical decisions.
Bitgak [Osprey]🟠 INTRODUCTION
Bitgak , translated as "Oblique Angle" in Korean, is a strategy used by multi-hundred-million traders in Korea, sometimes more heavily than Fibonacci retracement.
It is a concept that by connecting two or more pivot points on the chart and creating equidistant parallel lines, we can spot other pivot points. As seen in the example, a line at a different height but with the same angle spots many pivot points.
This indicator spots pivot points on the chart and tests all different possible Bitgak lines with a brute-force method. Then it shows the parallel line configuration with the most pivots hitting it. You may use the lines drawn on the chart as possible reversal points.
It is best to use on Day and Week candles . In the very short range of time, the noise makes it hard to capture meaningful data.
🟠 HOW TO USE
The orange dots are the major pivot points (you can set the period of the long-term pivot) upon which the lines are built.
Change the "Manual Lookback Bars" from 300 to a meaningful period upon your inspection.
"Hit Tolerance %" means how close a pivot needs to be to the line to be considered as having touched the line.
If the line is too narrow, which is not very useful, you may consider increasing the "Long-term Pivot Bars" and experimenting with different settings for Channel Lines and Heuristics.
The result:
"Top Anchors to Test (L)" is how many L highest peaks and L lowest troughs should be weighed heavily when testing the lines. That is, with L = 1, the algorithm will reward the Bitgak lines that touch 1 highest peak and 1 lowest trough. It doesn't make much intuitive sense, so I suggest just testing it out.
🟠 HOW IT WORKS
Step 1: Pivot Detection
The indicator runs two parallel detection systems:
Short-term pivots (default: 7 bars on each side) - Captures minor swing highs/lows for detailed analysis
Long-term pivots (default: 17 bars on each side) - Identifies major structural turning points
These pivots form the foundation for all channel calculations.
Step 2: Anchor Point Selection
From the detected long-term pivots, the algorithm identifies:
The L highest peaks (default L=1, meaning the single highest peak)
The L lowest troughs (default L=1, meaning the single lowest trough)
These become potential "anchor points" for channel construction. Higher L values test more combinations but increase computation time.
Step 3: Channel Candidate Generation
For support channels: Every pair of troughs becomes a potential base line (A-B)
For resistance channels: Every pair of peaks becomes a potential base line (A-B)
The algorithm then tests each peak (for support) or trough (for resistance) as pivot C.
Step 4: Optimal Spacing Calculation
For each A-B-C combination, the algorithm calculates:
Unit Spacing = (Distance from C to A-B line) / Multiplier
It tests multipliers from 0.5 to 4.0 (or your custom range), asking: "If pivot C sits on the 1.0 line, what spacing makes the most pivots hit other lines?"
Step 5: Scoring & Selection
Each configuration is scored by counting how many pivots fall within tolerance (default 1% of price) of any parallel line in the range . The highest-scoring channel is drawn on your chart.
MACD AI Flux Pro Dashboard V. 2Acknowledgment
This indicator is built upon the MACD-V (Volatility-Normalized MACD) methodology originally created by Alex Spiroglou, CMT, whose research (2015–2022) introduced the principle of normalizing MACD momentum by volatility (MACD/ATR). Full acknowledgment and credit are hereby given to Mr. Spiroglou as the original author of the MACD-V concept and framework.
Indicator Overview — MACD-V Flux Pro Dashboard V.2
The MACD-V Flux Pro Dashboard advances Spiroglou’s volatility-normalized foundation into a comprehensive multi-system architecture that unifies momentum, trend, volatility, and compression analytics in one visual framework. It is engineered for precision decision-making in both intraday and swing-trading environments.
Key Dashboard Features:
Dynamic Probability Engine: Calculates real-time long and short probabilities by weighting momentum, slope, compression, and volume pressure components into a composite score.
Multi-Timeframe Confirmation (HTF Tiles): Displays live directional agreement across fast, mid, and slow timeframes for confidence filtering and signal validation.
Regime Detection System: Automatically classifies the market as Trend Up, Trend Down, Compression, or Transition, applying background color cues for instant context.
Risk and News Filters: Integrates ATR-based risk gating and customizable “mute windows” to block trade signals during high-volatility or scheduled news events.
VWAP and Adaptive Bands: Plots VWAP with configurable ATR or standard-deviation bands to highlight over-extension and pullback zones.
Trend-Day and Opening-Range Logic: Monitors RTH (Regular Trading Hours) price behavior to identify potential trend-day conditions.
Smart Entry Arrows: Generates visual long/short signals only when multiple subsystems confirm direction, slope strength, and proximity to VWAP within defined thresholds.
On-Chart Dashboard Panel: Presents live metrics including probability bias, regime state, ATR level, risk status, and news filters with adaptive color-coding and optional emoji cues for intuitive interpretation.
Chart Display Summary:
All elements are presented directly on the main chart, combining price structure, VWAP bands, EMAs, and regime background shading with the real-time dashboard panel. The design eliminates the need for a secondary pane, offering a consolidated and context-rich view of market dynamics
OfficalQLBacktestingMetricsLibrary "OfficalQLBacktestingMetrics"
TODO: credits to elicobra and bikelife76
curve(disp_ind)
Call function to get a certain curve of your strategy.
Parameters:
disp_ind (string)
Returns: Returns type of curve plot.
quantlapseTable(option, position)
Assign this function to a random variable to get the "Performance Table"
Parameters:
option (simple string)
position (simple string)
OfficialQLBacktestingMetrics is a comprehensive backtesting metrics and visualization library for Pine Script v6.
It provides an advanced set of quantitative performance tools to evaluate and visualize the robustness of any TradingView strategy. Designed for precision and clarity, this library calculates key trading metrics, generates visual performance tables, and applies dynamic color grading to highlight strengths and weaknesses across critical performance dimensions.
🔍 Key Features
Comprehensive Statistical Engine:
Calculates advanced metrics including Sharpe Ratio, Sortino Ratio, Omega Ratio, Profit Factor, Max Equity Drawdown, Intra-Trade Drawdown, Win/Loss consistency, Long/Short profit ratios, and more.
Visual Performance Table:
The quantlapseTable() function creates a fully customizable performance dashboard directly on your chart. Choose between:
Full — displays all available statistics.
Simple — compact view of key performance metrics.
None — hides the table when not needed.
Dynamic Color Grading:
Metrics are visually ranked through gradient color logic to help quickly identify strong vs weak areas in strategy performance.
Curve and Filtering Utilities:
Use curve() and cleaner() to easily access and manage equity curves, profit data, and strategy-specific plots for further analysis or visualization.
Smart Statistical Adjustments:
The library automatically scales statistical measures such as Sharpe and Sortino ratios according to the chart’s timeframe, ensuring accurate normalization across daily, weekly, or intraday data.
Robustness Scoring System (“Slap Score”):
A built-in performance quality evaluator that scores a strategy’s overall robustness based on multiple key performance thresholds.
🧩 Main Functions
Function Description
curve(disp_ind) Returns selected equity or profit curve.
cleaner(disp_ind, plot) Filters plots to show only selected display types.
stat_calc() Core metric computation engine. Returns all major backtesting stats.
quantlapseTable(option, position) Generates performance table (Full, Simple, or None).
f_colors(metric, value) Assigns gradient colors to metrics for visual evaluation.
maxEquityDrawDown() / maxTradeDrawDown() Calculates drawdowns at equity and trade levels.
consecutive_wins() / consecutive_losses() Measures streaks of profitable/unprofitable trades.
long_profit() / short_profit() Evaluates long/short side profitability ratios.
⚙️ Usage Example
//version=6
import QuantLapse/OfficalQLBacktestingMetrics/1 as ql
disp_ind = input.string ("Equity" , title = "Display Curve" , tooltip = "Choose which data you would like to display", options= , group = "🌌𝙌𝙪𝙖𝙣𝙩𝙇𝙖𝙥𝙨𝙚 𝘽𝙖𝙘𝙠𝙩𝙚𝙨𝙩𝙞𝙣𝙜🚀")
pos_table = input.string("Middle Right", "Table Position", options = , group = "🌌𝙌𝙪𝙖𝙣𝙩𝙇𝙖𝙥𝙨𝙚 𝘽𝙖𝙘𝙠𝙩𝙚𝙨𝙩𝙞𝙣𝙜🚀")
type_table = input.string("Full", "Table Type", options = , group = "🌌𝙌𝙪𝙖𝙣𝙩𝙇𝙖𝙥𝙨𝙚 𝘽𝙖𝙘𝙠𝙩𝙚𝙨𝙩𝙞𝙣𝙜🚀")
ql.quantlapseTable("Full", "Top Right")
plot(ql.curve(disp_ind), color = color.teal, linewidth = 2)
ql.quantlapseTable(type_table, pos_table)
🧠 Credits
Created by elicobra and bikelife76 tweaked my QuantLapse
Sri Momentum Plus - CTF with adjustable hilineSri Momentum Plus – CTF with Adjustable Hiline
Sri Momentum Plus is a refined, multi-timeframe momentum analyzer designed to visualize trend strength and reversals with precision.
This tool is an enhanced version of traditional momentum oscillators, incorporating custom timeframe control, dynamic sensitivity, and a user-adjustable baseline (hiline) for flexible visualization and alignment with different trading strategies.
⚙️ Key Features
Custom Timeframe (CTF):
Analyze momentum from any selected timeframe (from 1-minute to Monthly), independent of the chart’s current timeframe.
Adjustable Hiline (Base Offset):
Shift the entire momentum structure up or down around your preferred base level. Ideal for aligning multiple indicators or customizing visual zones (e.g., -110, -50, or 0).
Dual Momentum Calculation:
Uses a blend of fast and slow moving averages to capture both short-term bursts and long-term shifts in momentum.
Normalization Options:
Choose between Volatility-based or Price-average-based normalization to adapt the indicator’s sensitivity to different market conditions.
Smart Coloring:
Four-color histogram distinguishes between bullish, bearish, and transitional phases — allowing you to visually detect momentum strength and reversals at a glance.
Signal Line Integration:
Smooths raw momentum into a clear signal line for trend confirmation and cross-over recognition.
🧩 User Controls
Timeframe Selection: Select any timeframe for the momentum calculation, independent of the chart.
Sensitivity: Fine-tune how strongly the indicator reacts to price movements.
Fast/Slow/Signal Periods: Adjust each period length for faster or slower response.
Normalization Method: Choose how momentum is scaled — either by volatility or by average price.
Hiline (Base Offset): Move the baseline up or down to align the indicator with your layout or trading framework.
📊 How to Use
Use histogram color changes and signal line crossovers to identify potential trend shifts.
Adjust the hiline to align with your preferred visual setup or to stack this indicator with other tools.
Works well in combination with volume, trend, or oscillator-based indicators for enhanced decision-making.
💡 Best For
Traders who use momentum-based strategies (swing, intraday, or positional).
Those who prefer custom multi-timeframe analysis to confirm higher-timeframe momentum.
Users seeking visual flexibility and clean separation of bullish/bearish momentum phases.
Index of Civilization DevelopmentIndex of Civilization Development Indicator
This Pine Script (version 6) creates a custom technical indicator for TradingView, titled Index of Civilization Development. It generates a composite index by averaging normalized stock market performances from a selection of global country indices. The normalization is relative to each index's 100-period simple moving average (SMA), scaled to a percentage (100% baseline). This allows for a comparable "development" or performance metric across diverse markets, potentially highlighting trends in global economic or "civilizational" progress based on equity markets.The indicator plots as a single line in a separate pane (non-overlay) and is designed to handle up to 40 symbols to respect TradingView's request.security() call limits.Key FeaturesComposite Index Calculation: Fetches the previous bar's close (close ) and its 100-period SMA for each selected symbol.
Normalizes each: (close / SMA(100)) * 100.
Averages the valid normalizations (ignores invalid/NA data) to produce a single "Index (%)" value.
Symbol Selection Modes:Top N Countries: Selects from a predefined list of the top 50 global stock indices (by market cap/importance, e.g., SPX for USA, SHCOMP for China). Options: Top 5, 15, 25, or 50.
Democratic Countries: ~38 symbols from democracies (e.g., SPX, NI225, NIFTY; based on democracy indices ≥6/10, including flawed/parliamentary systems).
Dictatorships: ~12 symbols from authoritarian/hybrid regimes (e.g., SHCOMP, TASI, IMOEX; scores <6/10).
Customization:Line color (default: blue).
Line width (1-5, default: 2).
Line style: Solid line (default), Stepline, or Circles.
Data Handling:Uses request.security() with lookahead enabled for real-time accuracy, gaps off, and invalid symbol ignoring.
Runs calculations on every bar, with max_bars_back=2000 for historical depth.
Arrays are populated only on the first bar (barstate.isfirst) for efficiency.
Predefined Symbol Lists (Examples)Top 50: SPX (USA), SHCOMP (China), NI225 (Japan), ..., BAX (Bahrain).
Democratic: Focuses on free-market democracies like USA, Japan, UK, Canada, EU nations, Australia, etc.
Dictatorships: Authoritarian markets like China, Saudi Arabia, Russia, Turkey, etc.
Usage TipsAdd to any chart (e.g., daily/weekly timeframe) to view the composite line.
Ideal for macro analysis: Compare democratic vs. authoritarian performance, or track "top world" equity health.
Potential Limitations: Relies on TradingView's symbol availability; some exotic indices (e.g., KWSEIDX) may fail if not supported. The 40-symbol cap prevents errors.
Interpretation: Values >100 indicate above-trend performance; <100 suggest underperformance relative to recent averages.
This script blends financial data with geopolitical categorization for a unique "civilization index" perspective on global markets. For modifications, ensure symbol tickers match TradingView's format.
Range Boxes XL (Nephew_Sam_) inspiredThis indicator is just Nephew_Sam's "Range Box" indicator modified. It gives the user the opportunity to plot multiple range boxes. This has been one of my favorite indicators for a while. Hopefully some you you all can benefit from it as I have. Thank you @Nephew_Sam.
CPR+PIVOT+HL+EMA_ by Jit'sThe **CPR+PIVOT+HL+EMA_ by Jit's** is a custom Trading View indicator designed especially for **index intraday trading** (like NIFTY, BANKNIFTY, and FINNIFTY). It integrates four powerful analytical components—Central Pivot Range (CPR), Pivot Points, Previous Day High/Low, and 9/15 Exponential Moving Averages (EMA)—to provide traders a comprehensive market structure and trend confirmation tool.
Core Components
**1. Central Pivot Range (CPR)**
The CPR forms the central structure of this indicator. It is derived from the previous day’s **high, low, and close** values:
- Pivot (P) = (H + L + C) / 3
- Bottom Central (BC) = (H + L) / 2
- Top Central (TC) = (P - BC) + P
These three levels together represent the market’s “value area.”
A **narrow CPR** suggests a potential trending day ahead, while a **wide CPR** indicates likely consolidation.
**2. Pivot Points & Support/Resistance Levels**
The indicator extends beyond CPR by adding **traditional or Fibonacci pivots**, dynamically plotting resistance (R1–R5) and support (S1–S5) zones. These levels assist in spotting breakout levels and intraday reversal zones.
**3. Previous Day High and Low (PDH/PDL)**
These levels are essential for understanding market context. When price stays **above PDH**, it often signals strong bullish momentum; breaking **below PDL** indicates bearish pressure. Many traders use PDH/PDL along with CPR as key validation points for entries or exits.
**4. EMA (9 and 15 periods)**
The moving averages provide short-term trend confirmation.
- **EMA(9)** captures immediate momentum.
- **EMA(15)** represents short-term trend alignment.
A crossover of EMA(9) above EMA(15) usually supports a **buy signal**, while the opposite indicates a sell bias.
Use Case in Index Trading
This indicator setup is highly suited for **index-based intraday trading** because:
- CPR gives a bias for the day (bullish/bearish).
- PDH/PDL exhibit clear breakout or reversal areas.
- EMAs refine timing for entry/exit.
- Pivot levels mark precise target and stop zones.
SALSA Multi-Framework Analysis SuiteThis indicator, SALSA (SALSA Multi-Framework Analysis Suite), is an original compilation designed to provide a multi-dimensional view of the market by integrating several distinct analytical frameworks into a single tool. It is not a simple aggregation of standard indicators without purpose.
The core concept is to combine the analytical power of different technical methodologies:
1. Multi-Length Moving Averages (MAs):A customizable set of 6 MAs (with user-defined types and lengths) provides trend direction, potential support/resistance levels, and generates signals through crossovers. Their rainbow color scheme (Red to Violet) helps visualize different timeframes.
2. **Volume Profile (VP):** Displays the distribution of trading volume at different price levels over a defined lookback period. Key levels like the Point of Control (PoC), Value Area High (VAH), and Value Area Low (VAL) are highlighted with specific, user-adjustable colors (e.g., red PoC, orange VAH, blue VAL) to identify significant price zones where institutional interest may have occurred.
3. Divergence Detection: Implements an algorithm to identify regular and hidden bullish and bearish divergences between an internal oscillator (`sz`) and the asset's price action. This helps anticipate potential trend reversals before they are confirmed by price.
4. Trend & Volatility Indicators: Includes VWAP, Bollinger Bands, and Ichimoku Cloud, offering additional layers for trend confirmation, volatility assessment, and dynamic support/resistance levels.
5. Momentum Indicators:** Features an internal oscillator inspired by Koncorde concepts, using CMF, OBV, RSI, and Stochastic to provide momentum-based buy/sell shapes.
6. Trading Signals (SALSA System):Generates potential buy/sell signals based on the interaction between the `sz` oscillator and ADX values.
7. Whale Detector:Aims to identify potential large player activity based on specific volume and price action patterns.
The primary goal is to allow traders to cross-reference signals from different analytical frameworks (trend, momentum, volume, volatility) simultaneously, increasing the potential for robust trade setups. The extensive input options allow for significant customization to fit various trading styles and preferences.
This script is provided for educational purposes to demonstrate the integration of multiple technical analysis concepts in Pine Script.
Market-BS Based on price action on 1 minute time frame-
Buy signal- whenever B print below the candle
Sell signal- whenever S print above the candle
Divergences: Price × RSI × OBV The Triple Confirmation Divergence indicator is a sophisticated momentum and volume-based tool designed to identify high-probability trend exhaustion points and potential reversals. It moves beyond traditional single-indicator divergence analysis by synthesizing signals from three core pillars of technical analysis: Price Action, Momentum, and Volume Flow.
This indicator works better on the time frames: 1H, 4H, 1D, 1W and 1M.
